Lead Analyst, Commercial Data – AI
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Job Description
Lead Analyst, Commercial Data & AI at DePuy Synthes improving orthopedic solutions with data insights and AI. Collaborating on customer data assets and analytical frameworks.
Responsibilities:
- Build and govern customer data assets: Partner with Data Strategies to define source-of-truth datasets, data definitions, and quality monitoring; document logic and ensure reproducibility.
- Data Quality & Integrity: Monitor and improve data accuracy, completeness, and consistency across systems.
- GenAI for Commercial enablement: Prototype and evaluate generative AI use cases (e.g., message variant generation, subject line testing, content summarization, agent-assist) with clear guardrails, human validation layer, and measurement.
- Stakeholder leadership: Partner on analytics intake and prioritization for CRM and other Commercial platforms; translate ambiguous questions into structured hypotheses, analytical plans, and deliverables.
- Commercial measurement and insights: Define and standardize KPI frameworks, translate business needs into clean, usable data models, and communicate data structure insights to leaders and cross-functional partners.
- Responsible data & AI: Ensure compliance with data privacy, consent, security, and AI governance policies; identify bias/fairness risks and propose mitigations.
- Mentorship: Coach analysts on analytical rigor, SQL best practices, and experimentation while ensuring data quality, governance, and reproducibility.
Requirements:
- Minimum of a bachelor's degree is required, MBA is preferred.
- 5+ years of progressive business experience is required.
- Experience in analytics, data science, or marketing/customer analytics, including hands-on CRM/lifecycle measurement is preferred.
- Strong ability to clean, blend, and transform large, complex datasets from multiple sources is required.
- Knowledge of orthopaedics products, procedures, and customer profiles is required.
- Experience translating business questions into hypotheses, analytical approaches, and clear recommendations on optimal data structure to meet stakeholder needs.
- Ability to partner effectively with cross-functional stakeholders and influence without direct authority.
- Knowledge of data privacy concepts relevant to CRM (consent, suppression, PII handling) and comfort working within governance controls.
- Excellent written and verbal communication skills; able to create executive-ready materials.
- Minimal travel may be required.
Benefits:
- Vacation –120 hours per calendar year
- Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado –48 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year
- Holiday pay, including Floating Holidays –13 days per calendar year
- Work, Personal and Family Time - up to 40 hours per calendar year
- Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child
- Bereavement Leave – 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
- Caregiver Leave – 80 hours in a 52-week rolling period10 days
- Volunteer Leave – 32 hours per calendar year
- Military Spouse Time-Off – 80 hours per calendar year
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